Smart Library Transformation Research Empowered by AIGC Technology Article Swipe
This paper investigates the role of Artificial Intelligence and Graph Computing (AIGC) in transforming traditional libraries into smart libraries. It discusses the background and current situation of smart libraries, including their definition, development history, and characteristics. The paper then explores the implementation of AIGC technology in the core operations and services of libraries. This includes automated book classification, intelligent retrieval, voice interaction, virtual reality, data integration and sharing. The paper further presents successful case studies of AIGC implementation in libraries across different sectors. It analyses the potential challenges and future prospects of AIGC in the library transformation process, such as technical challenges, information security, policy regulation, and user demand. Finally, the paper proposes strategic approaches for driving the transformation of libraries into smart libraries using AIGC, including the development of AIGC platforms, education of AIGC talent, enhancing collaboration between AIGC and libraries, and standardising smart library development.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.25236/fsst.2023.050805
- http://francis-press.com/uploads/papers/vJ0N9CO0IMbGBXWTdXKBbe7hrdhQeCIvsBndibrm.pdf
- OA Status
- bronze
- Cited By
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4380789006
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4380789006Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.25236/fsst.2023.050805Digital Object Identifier
- Title
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Smart Library Transformation Research Empowered by AIGC TechnologyWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Xiaocheng LiuList of authors in order
- Landing page
-
https://doi.org/10.25236/fsst.2023.050805Publisher landing page
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https://francis-press.com/uploads/papers/vJ0N9CO0IMbGBXWTdXKBbe7hrdhQeCIvsBndibrm.pdfDirect link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://francis-press.com/uploads/papers/vJ0N9CO0IMbGBXWTdXKBbe7hrdhQeCIvsBndibrm.pdfDirect OA link when available
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Computer science, Process (computing), Engineering management, Knowledge management, World Wide Web, Data science, Engineering, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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